Geostatistics Lessons is an open disclosure of some guidance in geostatistical modeling reviewed by an editorial board. These python notebooks and data are prepared by Lesson authors to supplement their Lesson. As new Lessons are authored and notebooks created, this repository will be updated.

Lessons with notebooks and data available include:

• An Application of Bayes Theorem to Geostatistical Mapping (notebook and lesson), Jared Deutsch and Clayton Deutsch, 2018
• Multidimensional Scaling (notebook and lesson), Steven Mancell and Clayton Deutsch, 2019
• Collocated Cokriging (notebook and lesson), Matthew Samson and Clayton Deutsch, 2020

Notebooks are implemented in Python 3 using the scientific python stack (including NumPy, Pandas, Matplotlib). Refer to the individual notebooks for any particular dependencies.

Notebooks are licensed under the MIT license separately from Lessons. Refer to Geostatistics Lessons for licensing information on the Lessons.